Jaume Baixeries
Impact in
- Developmental Biology top 10%
- Animal Vocal Communication and Behavior
- Cultural Studies top 5%
- Language and cultural evolution
Papers in
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- Fractal and DNA sequence analysis 4
- RNA and protein synthesis mechanisms 2
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- Natural Language Processing Techniques 2
- Authorship Attribution and Profiling 2
- Co-authors
- Ramon Ferrer‐i‐Cancho (9 shared papers)Antoni Hernández-Fernändez (7 shared papers)Brita Elvevåg (2 shared papers)Núria Forns (3 shared papers)Mehdi Kaytoue (2 shared papers)Amedeo Napoli (3 shared papers)Gemma Bel-Enguix (1 shared paper)Ricard Gavaldà (1 shared paper)
In The Last Decade
Jaume Baixeries
15 papers receiving 164 citations
Peers
Comparison fields: 5 of 50
- Developmental Biology 20
- Cultural Studies 42
- Artificial Intelligence 76
- Linguistics and Language 9
- Language and Linguistics 20
Countries citing papers authored by Jaume Baixeries
This map shows the geographic impact of Jaume Baixeries's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jaume Baixeries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaume Baixeries more than expected).
Fields of papers citing papers by Jaume Baixeries
This network shows the impact of papers produced by Jaume Baixeries. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jaume Baixeries. The network helps show where Jaume Baixeries may publish in the future.
Co-authors
The 14 scholars most cited alongside Jaume Baixeries, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 49 | |
| 2 | The challenges of statistical patterns of language: the case of Menzerath's law in genomes | 2013 | 23 |
| 3 | 2014 | 23 | |
| 4 | 2011 | 17 | |
| 5 | 2013 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2011 | 11 | |
| 8 | 2015 | 9 | |
| 9 | 2021 | 5 | |
| 10 | 2018 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2014 | 2 | |
| 13 | 2012 | 2 | |
| 14 | When is Menzerath-Altmann law mathematically trivial? A new test | 2012 | 1 |
| 15 | Sampling strategies for finding frequent sets | 2003 | 1 |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Jaume Baixeries
Jaume Baixeries is a scholar working on Molecular Biology, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics and Cultural Studies, having authored 17 papers that have together received 175 indexed citations. Recurring topics across this work include Fractal and DNA sequence analysis (4 papers), Data Management and Algorithms (3 papers), Rough Sets and Fuzzy Logic (3 papers), Natural Language Processing Techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Authorship Attribution and Profiling (2 papers), Language and cultural evolution (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Developmental Biology (20 citations), Cultural Studies (42 citations), Artificial Intelligence (76 citations), Linguistics and Language (9 citations) and Language and Linguistics (20 citations). Jaume Baixeries has collaborated with scholars based in Spain, France and Norway. Frequent co-authors include Ramon Ferrer‐i‐Cancho, Antoni Hernández-Fernändez, Brita Elvevåg, Núria Forns, Mehdi Kaytoue, Amedeo Napoli, Gemma Bel-Enguix, Ricard Gavaldà, Xiao Zhang and Manuel Ojeda‐Aciego. Their work appears in journals such as Journal of Quantitative Linguistics, International Journal of Approximate Reasoning, Discrete Applied Mathematics, Computers in Biology and Medicine and Biosystems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.